Aside

portrait

Contact

Coding Skills

R
Matlab
Python
Excel VBA
C++
Javascript

Software

cv: (contributor) Creates awesome data-driven cv’s. ascr: (contributor) Maps sound sources using fixed microphone arrays. dshm: (author) Fits two-stage density surface Hurdle models and automates labour-intensive GIS routines. adas: (author & private) Maps sound sources using moving microphone arrays.

Languages

Italian (native)
English (fluent)
German (fluent)
French (proficient)

Disclaimer

Made w/ pagedown.

Source code on my GitHub.

Last updated on 2020-05-14.

Main

Filippo Franchini

Summary

I am a data scientist, software engineer and entrepreneur. I devise tools that help people to fill data gaps and make predictions, to automate and efficiently boost labour-intensive and time-consuming calculations, and to understand complex systems. I improved protocols and devised the first quiet multi-rotor acoustic drone to map sound sources from the air using only acoustic information.

I am currently searching for a position that allows me to apply and improve my coding skills as well as develop new methods and instruments using statistics, software engineering, machine learning and artificial intelligence.

Experience

Co-supervisor in Signal Processing, Machine Learning & Artificial Intelligence

SUPSI DTI (Department of Innovative Technologies)

Ticino, Switzerland

Present - 2020

  • MSc student co-supervision and expert at MSc thesis presentation.
  • Drone noise cancelling using a mixed approach of Machine Learning, Artificial Intelligence and Signal Processing techniques (R, Matlab).

Tutor, Demonstrator, Mentor and Consultant in Statistics

University of St Andrews, University of Essex, Tutorful Ltd.

St Andrews & Colchester, UK

Present - 2014

  • Tutor and lead demonstrator in statistics, computer science, psychology and biology (R, Python, Matlab and SPSS).
  • Tutor in statistics and GIS at CEED (Centre for Educational Enhancement and Development).
  • 250+ hours taught in person and online.
  • ILM level 3 Coaching and Mentoring certified mentor.

Co-founder, Administrator & Data Analyst

EARFLY Sagl

Ticino, Switzerland

Present - 2017

  • Flight board and drone noise analyst (R, Python, Matlab).
  • Media, marketing and business management.
  • Partnerships with sponsors and suppliers.
  • Patent application.

Co-founder and Instructor

Guidare con Stile Sagl

Ticino, Switzerland

2020 - 2011

  • Organizing one-day courses on road security, law compliance, accident prevention, nutrition, and abuse of psychoactive substances.
  • Facilitating group discussion on relevant road issues.
  • Organizing meetings with other co-founders.

Data Scientist and Software Engineer

SUPSI Earth Science Institute

Ticino, Switzerland

2016 - 2013

  • Big multivariate time series analysis.
  • Validating, cleaning and standardizing data for exploratory analysis and pattern identification.
  • Statistical modelling and software development (Excel Visual Basic, R) to replace data gaps and make temporal predictions.

Funding

CREEM Scholarship

PhD award of £70’000 to cover tuition fees and living expenses for a period of 3.5 years.

N/A

Present - 2017

National Geographic Standard Grant

Grant of $30’000 to fund the fieldwork and part of the technology development of my PhD.

N/A

2020 - 2019

EPSRC Impact Acceleration Account

Grant of £2500 to finance part of the technology development of my PhD.

N/A

2019


Prizes & Awards

Top 10 most influential people in Ticino (Switzerland), Ticinonews - 2019

EARFLY as top 10 best innovative start-ups, Boldbrain Start-Up Challenge - 2018

The Dean’s List, University of St Andrews - 2017

The Marine Biology Prize, University of Essex - 2016

Élite-sports award, Swiss Federal Sport Office - 2009


Additional Experience

Boldbrain Start-up Challenge, 90-days Accelerator including free coaching and workshops in Value Proposition, Finance, Pitching and Intellectual Property, September-December 2018

Swiss Army, Special Force Command, 2009


Interests

Competitive Gymnastics 2006-2014

Classic and electric guitar since 1997, 7 years at Classic Guitar School

Scuba Diving PADI Open Water Diver, Nitrox and Deep speciality.

Motorboat licence

Animal lover

Wildlife photography

Travelling

Education

PhD Student in Statistics & Statistical Computing

University of St Andrews, CREEM

Scotland, UK

Present - 2017

  • New R-implemented statistical methodology to locate and map sound source using moving microphone arrays.
  • Analysis of drone noise and flight data (R, Python, Matlab)
  • Joint collaboration with the industry for the design and manufacture of the first acoustic multi-rotor drone as well as for drone noise cancelling.
  • Successful National Geographic Standard Grant and EPSRC IAA applications.
  • Organization and logistic planning of one-month fieldwork in Laos with Association Anoulak.

MSc in Applied Statistics (Marine Mammal Science)

University of St Andrews

Scotland, UK

2017 - 2016

MSc in Applied Statistics (Biogeoscience)

University of Essex

Essex, UK

2015 - 2014

  • New protocols to improve the quantification of small quantities of gases using a gas chromatograph.
  • Monte-Carlo simulation and sensitivity analysis to estimate the biogenic gas release from coral reefs worldwide.

BSc in Biology

ETH Zürich

Zürich, Switzerland

2013 - 2010

Publications